OrionStarAI
Research profile; release coverage pending verification
Multilingual, efficient long-context language model
OrionStarAI does not have active models tracked in LLMReference yet — browse families below or jump to a model index when you already know which model you need.
Covers 0 workload areas across 0 active tracked models; last verified 2026-04-15.
Use it for
- Orientation before drilling into a specific model
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
- Production picks until at least one active model is linked
Active models
0
Current models from this lab, excluding deprecated ones
Active families
0
Current model families from this lab
Open catalog
0 open
0 open source / 0 open weights
Lowest output price
Not tracked
No provider output pricing linked yet
Latest dated release
None
No confirmed release dates yet
Freshness
2026-04-15
Researched 140d ago
Information
Release cadence
- Dated releases
- 0
- Latest model
- Not tracked
- Latest date
- Unknown
Where this lab wins
Not enough capability or benchmark coverage yet to call strengths for this lab.
Flagship quality / price signal
No flagship economics yet — this lab needs at least one active tracked model.
About
OrionStarAI, established in 2016 in Beijing, has emerged as a leading innovator in the field of artificial intelligence, with a strong focus on generative AI and large language models (LLMs). The company's commitment to pushing the boundaries of technological advancements is evident in their comprehensive approach to AI development, particularly through their flagship Orion-14B series of multilingual LLMs. These models have been intricately developed from the ground up, leveraging a massive multilingual corpus comprising 2.5 trillion tokens.
Model families
No model families are linked to this researcher yet. Browse all models.
Recent releases
No dated model releases are linked yet. Review the changelog.
Explore related pages
Last reviewed: 2026-04-15. Data sourced from public lab announcements and provider documentation.